Real-Time Implementation of Switched Multi-Objective Prioritizing MPC for a Brandy Distillation Process

Autor: Nicolas Langlois, Vincent Sircoulomb, Marwa Ben Ticha
Přispěvatelé: ASPI-Groupe SIT [Saint-Lô], Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC), Pôle Automatique et Systèmes, Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)-Université de Rouen Normandie (UNIROUEN)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep 2020, Vienna, France. pp.468-475, ⟨10.1109/ETFA46521.2020.9211977⟩
ETFA
Popis: International audience; This paper addresses the implementation of a novel approach to the design of Model Predictive Control (MPC) on a brandy distillation process. This new approach is based on multi-objective optimization with prioritization and switching between multiple models obtained at different operating phases. At each sampling step, several conflicting objectives are to be optimized under an order of priority that may be changed from one phase of the process working cycle to another. The proposed Switched Multi-Objective Prioritizing MPC (S-MOP-MPC) is compared with a PID-based control structure in terms of various performance indices. The results show that S-MOP-MPC provides better control and better performance than the PID-based control structure.
Databáze: OpenAIRE